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Module 4: Explainable AI (XAI)

LESSON 4.4.: PRACTICAL STEPS FOR IMPLEMENTING XAI


To incorporate XAI into AI projects, practitioners should:

  1. Identify Stakeholder Needs: Determine who will use the model explanations and what level of detail they require. 
  2. Select Appropriate XAI Tools: Choose XAI techniques and tools that best suit the model type and application context. 
  3. Implement and Test: Use tools like LIME, SHAP, or the What-If Tool to test model predictions and identify any biased patterns. 
  4. Communicate Results Effectively: Tailor explanations to the audience—technical explanations may be appropriate for data scientists, while simplified summaries may work better for end-users or non-technical stakeholders.